Audio based depression detection using Convolutional Autoencoder
Version 3 2024-11-26, 04:08Version 3 2024-11-26, 04:08
Version 2 2024-06-06, 08:30Version 2 2024-06-06, 08:30
Version 1 2021-11-11, 09:10Version 1 2021-11-11, 09:10
journal contribution
posted on 2024-11-26, 04:08 authored by Sara SardariSara Sardari, Bahareh NakisaBahareh Nakisa, MN Rastgoo, Peter EklundAudio based depression detection using Convolutional Autoencoder
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Journal
Expert Systems with ApplicationsVolume
189Article number
116076Pagination
1-13Location
Amsterdam, The NetherlandsPublisher DOI
ISSN
0957-4174eISSN
1873-6793Language
engPublication classification
C1 Refereed article in a scholarly journalPublisher
ElsevierPublication URL
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No categories selectedKeywords
Audio depression detectionSemi-supervised learningConvolutional AutoencoderEarly depression detectionScience & TechnologyTechnologyComputer Science, Artificial IntelligenceEngineering, Electrical & ElectronicOperations Research & Management ScienceComputer ScienceEngineeringNEURAL-NETWORKDISEASE4603 Computer vision and multimedia computation
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